DataFrame - Leicester
Address: 21 High View Cl, Leicester LE4 9LJ, United Kingdom.
Website: dataframeconsultancy.co.uk
Specialties: Corporate office.
Opinions: This company has 0 reviews on Google My Business.
Average opinion: 0/5.
đ Location of DataFrame
Introduction
Nestled in the heart of Leicester, DataFrame, located at 21 High View Cl, is a distinguished consultancy firm specializing in corporate office solutions. This strategic location in the East Midlands places DataFrame at the intersection of business growth and technological advancement, allowing the company to provide tailored services to a diverse range of clients.
Main Services
DataFrame offers a comprehensive suite of services, designed to streamline business operations and enhance productivity. Their expertise lies in:
- Data Management: DataFrame helps businesses manage, analyze, and interpret their data to drive informed decision-making. They specialize in data cleaning, transformation, and migration, ensuring data integrity and security.
- Business Intelligence (BI): DataFrame empowers clients with intuitive and interactive dashboards, enabling real-time data visualization and enabling users to extract valuable insights from complex data sets.
- Data Warehousing and ETL (Extract, Transform, Load): DataFrame designs, implements, and manages data warehouses, ensuring seamless integration of data from diverse sources. They employ ETL processes to transform raw data into a structured format, ready for analysis.
- Data Governance and Security: DataFrame prioritizes data governance, implementing robust security protocols to protect client data. They ensure compliance with relevant data protection regulations, such as GDPR, and provide data governance frameworks to maintain data quality and consistency.
Location and Access
DataFrame's office is situated in the High View neighborhood of Leicester, providing easy access to major transportation links. The location is served by several bus routes, with the nearest stops being 'Highfields Park' (approx. 350m) and 'Charnwood St' (approx. 400m). The nearest railway station is Leicester, approximately 2.5 miles away, with regular services to London St Pancras International and other major cities.
Parking is available in the vicinity, with the 'Highfields Park' car park (approx. 300m) offering ample spaces for both clients and visitors. The location also benefits from being close to various amenities, including cafes, restaurants, and shops, making it convenient for both business and leisure purposes.
Featured Characteristics
DataFrame's office at 21 High View Cl stands out for its uniquely designed workspace, fostering creativity and collaboration. The office features:
- An open-plan layout, encouraging interaction and teamwork
- Modern furnishings and ergonomic furniture, promoting comfort and productivity
- State-of-the-art technology, including high-speed internet and advanced software solutions
- A dedicated training room, ideal for workshops and client presentations
- On-site kitchen and breakout areas, providing a relaxed space for staff and visitors
Practical Information
DataFrame's office is open Monday to Friday, from 9:00 AM to 5:30 PM. However, they offer flexible appointment scheduling to accommodate client needs. The consultancy can be contacted via their website (dataframeconsultancy.co.uk) or through their social media channels. Although no phone number is listed on their website, clients are encouraged to reach out through the contact form provided.
Opinions and Positive Aspects
Although DataFrame has no reviews on Google My Business, their website and industry presence indicate a strong commitment to client satisfaction. Positive aspects of DataFrame's services include:
- Tailored solutions, catering to the unique needs and goals of each client
- Expertise in cutting-edge data management technologies and practices
- A customer-centric approach, prioritizing clear communication and collaboration
- Proven track record of delivering successful data management projects
Clients and industry peers are encouraged to share their experiences with DataFrame, contributing to a more comprehensive understanding of the company's strengths and areas for improvement.